Data Engineering Basics on Cloud (AWS & Azure) || K21Academy

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In this video, we will guide you through the essentials of AWS Data Engineering, focusing on key strategies, career transitions, and technical concepts. Here's what you'll learn:

🔍 What You'll Learn:

Structured Data and Semi-Structured Concepts: Learn the benefits of structured data in data engineering and get introduced to semi-structured data.

Understanding JSON, XML, and Unstructured Data: Explore different data formats and their relevance in data engineering.

Handling Large Volumes of Data and AI: Understand strategies for managing large data sets and integrating AI for enhanced data processing.

Data Warehouses, Lakes, and Lake Houses: Get an overview of various data storage solutions and their use cases.

Data Warehouse Concept and ETL Process: Learn about data warehouse concepts and the ETL (Extract, Transform, Load) process.

By the end of this video, you'll have a solid understanding of AWS Data Engineering strategies and concepts, empowering you to kickstart your career in this dynamic field.

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See you in the next video!